Inhibitory KIRs decrease HLA class II-mediated protection in Type 1 Diabetes.

Inhibitory killer cell immunoglobulin-like receptors (iKIRs) are a family of inhibitory receptors that are expressed by natural killer (NK) cells and late-stage differentiated T cells. There is accumulating evidence that iKIRs regulate T cell-mediated immunity. Recently, we reported that T cell-mediated control was enhanced by iKIRs in chronic viral infections.

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

Importance: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized NSCLC care, it is imperative to identify patients who are most likely to benefit from immunotherapy.

Objective: To develop a supervised deep learning-based ICI response prediction method; evaluate its performance alongside other known predictive biomarkers; and assess its association with clinical outcomes in patients with advanced NSCLC.

The biochemical and molecular mechanisms of plants: a review on insect herbivory.

Biochemical and molecular mechanisms have been essential mechanisms to reduce various insect attacks on plants. The biochemical methods are wide involving direct and indirect defenses. The defensive chemical substances are secreted effectively to the wound caused by the herbivores (insects and phytopathogens) on plants.

Endothelial dysfunction in adults with congenital heart disease: A systematic review and meta-analysis.

Background: Adults with congenital heart disease (ACHD) can face a lifelong risk of premature cardiovascular events. Endothelial dysfunction and arterial stiffness may be some of the key mechanisms involved. Early identification of endothelial damage in ACHD could be crucial to mitigate the adverse events.

Bayesian material flow analysis for systems with multiple levels of disaggregation and high dimensional data.

Material flow analysis (MFA) is used to quantify and understand the life cycles of materials from production to end of use, which enables environmental, social, and economic impacts and interventions. MFA is challenging as available data are often limited and uncertain, leading to an under-determined system with an infinite number of possible stocks and flows values. Bayesian statistics is an effective way to address these challenges by principally incorporating domain knowledge, quantifying uncertainty in the data, and providing probabilities associated with model solutions.

Possible viral agents to consider in the differential diagnosis of blepharoconjunctivitis.

Background: Blepharoconjunctivitis poses a diagnostic challenge due to its diverse etiology, including viral infections. Blepharoconjunctivits can be acute or chronic, self-limiting, or needing medical therapy.

Aim: To review possible viral agents crucial for accurate differential diagnosis in cases of blepharoconjunctivitis.

A Molecular Logic Gate Enables Unconventional Super-resolution Same-Day Imaging of Lysosome Membrane in Live Cells.

Lysosomes are acidic membrane-bound organelles that aid digestion, excretion, and cell renewal. The lysosomal membranes are essential for maintaining lysosomal functions and cellular homeostasis. In this work, we developed a molecular "NOR" logic gate, , by introducing malachite green into the spirocyclic rhodamine.

Cost-effectiveness of ten commonly used antipsychotics in first-episode schizophrenia in the UK: economic evaluation based on a discrete event simulation model.

Background: Previous economic evidence about interventions for schizophrenia is outdated, non-transparent and/or limited to a specific clinical context.

Aims: We developed a discrete event simulation (DES) model for estimating the cost-effectiveness of interventions in schizophrenia in the UK.

Method: The DES model was developed based on the structure of previous models, populated with demographic, clinical and cost data from the UK, and antipsychotics' effects from recent network meta-analyses.

Inhaled corticosteroids and major cardiovascular events in people with chronic obstructive pulmonary disease.

Background: Whether inhaled corticosteroids (ICSs) reduce major adverse cardiovascular events (MACEs) in people with chronic obstructive pulmonary disease (COPD) is debated.

Objectives: To establish, within people with COPD, (1) whether ICS reduced MACE rates (acute coronary syndrome (ACS), heart failure (HF), ischaemic strokes or cardiovascular-specific death) compared with long-acting bronchodilators; and (2) whether drug class, incident usership or patient cardiovascular history influenced the ICS-MACE relationship.

Methods: We conducted a cohort study including patients with COPD in England, using Clinical Practice Research Datalink Aurum data, linked with Hospital Episode Statistics and Office of National Statistics death data, between 1 January 2010 and 31 December 2019.

How do patients determine when their inhaler is empty? Insights from an analysis of returned inhalers and a patient survey.

Background: Inhalers are widely used for the management of asthma and chronic obstructive pulmonary disease. However, there is little knowledge about the extent to which an inhaler is used and when it is disposed of, despite the implications for an individual's health (when used beyond the recommended number of doses (overused)), and medicine wastage, healthcare costs and the environment (when discarded with remaining doses (underused)). To explore inhaler use, we assessed the number of doses remaining in pressurised metered-dose inhalers (pMDIs) returned via a Chiesi Inhaler Recycling scheme.

Changes in child restraint practices in Shenzhen, China three years after the enactment of local legislation: two population-based cross-sectional surveys.

Background: The enactment of child restraint systems (CRSs) legislation is highly effective in increasing CRS practices. However, evidence from low- and middle-income countries is still lacking. This study aimed to assess the changes in CRS practices in Shenzhen, China following the implementation of CRS legislation.

High-grade trochlear dysplasia increases patellofemoral joint pressure and decreases the knee extension torque, and tibial tubercle anteriorisation does not correct these effects: Biomechanical study in vitro.

Purpose: High-grade femoral trochlear dysplasia is associated with anterior knee pain, patellar maltracking, instability and the development of osteoarthritis. Scientific studies have signified the importance of trochlear resection on the knee extensor mechanism, and dysplasia can be addressed by a groove-deepening trochleoplasty. Alternatively, tibial tubercle anteriorisation has been proposed to reduce patellofemoral joint (PFJ) pressure and alleviate pain from osteoarthritis.

Emergence of Omicron FN.1 a descendent of BQ.1.1 in Botswana.

Botswana, like the rest of the world, has been significantly impacted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In December 2022, we detected a monophyletic cluster of genomes comprising a sublineage of the Omicron variant of concern (VOC) designated as B.1.

Marginal Bone Loss Around the Implant: A Retrospective Analysis of Bone Remodeling Over Five Years of Follow-Up.

Introduction: Bone remodeling around implants in implant-supported rehabilitation is a continuous debate with no consensus in the literature. This study aimed to investigate the implant- and patient-specific factors contributing to marginal bone loss near the implant.

Materials And Methods: We included patients who had implant-supported prosthetic rehabilitation using one implant system, between 2014 and 2018, who had full follow-up documentation and orthopantomography over five years, and who had no unwell-controlled systemic pathologies that may influence bone metabolism.

RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging.

This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porcine surgery and an in-house neurosurgery dataset. Various architectures based on convolutional neural networks (CNNs) and transformer models are evaluated using comprehensive metrics. Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges.

Occlusion-robust markerless surgical instrument pose estimation.

The estimation of the pose of surgical instruments is important in Robot-assisted Minimally Invasive Surgery (RMIS) to assist surgical navigation and enable autonomous robotic task execution. The performance of current instrument pose estimation methods deteriorates significantly in the presence of partial tool visibility, occlusions, and changes in the surgical scene. In this work, a vision-based framework is proposed for markerless estimation of the 6DoF pose of surgical instruments.

Calibration-Jitter: Augmentation of hyperspectral data for improved surgical scene segmentation.

Semantic surgical scene segmentation is crucial for accurately identifying and delineating different tissue types during surgery, enhancing outcomes and reducing complications. Hyperspectral imaging provides detailed information beyond visible color filters, offering an enhanced view of tissue characteristics. Combined with machine learning, it supports critical tumor resection decisions.

Impact of COVID-19 on functional, cognitive, neuropsychiatric, and health-related outcomes in patients with dementia: A systematic review.

Background: This systematic review analyzes the impact of COVID-19 on dementia patients' functional, cognitive, neuropsychiatric, and health related outcomes. It hypothesizes that dementia patients infected with SARS-CoV-2experience more pronounced deterioration compared to those who are uninfected.

Methods: Research from 01/03/2020 to 07/10/2023 was conducted using Medline, Web of Science, and Embase databases, and adhering to PRISMA guidelines and the PICO framework.

Assessing the knowledge, attitudes and practices of healthcare staff and students regarding disposal of unwantead medications: a systematic review.

Objectives: We sought to review studies that examine healthcare professionals' and students' knowledge, attitudes and practices (KAP) regarding medication disposal. We also explore recommendations and barriers related to appropriate medication disposal.

Design: A systematic review was conducted that adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

The association between animal protein, plant protein, and their substitution with bladder cancer risk: a pooled analysis of 10 cohort studies.

Purpose: Although total dietary protein intake has been associated with bladder cancer (BC) risk, the effect of the origin (plant or animal) and the substitutions remain to be understood. This study aimed to investigate the effect of total dietary protein, animal-based protein, plant-based protein, and their substitutions with each other on the risk of BC using a pooled analysis of 10 cohort studies.

Methods: The study was conducted within the "BLadder cancer Epidemiology and Nutritional Determinants" (BLEND) study, including 10 prospective cohort studies from several European countries, the United Kingdom, and the United States.

Comparing FFR-Guided Complete Revascularization and Conservative Management for Non-Culprit Lesions in STEMI Patients With Multivessel Disease: A Systematic Review and Meta-Analysis.

Background: In patients with ST-segment elevation myocardial infarction (STEMI) and multivessel coronary artery disease, the optimal management strategy for non-culprit lesions is a subject of ongoing debate. There has been an increasing use of physiology-guidance to assess the extent of occlusion in non-culprit lesions, and hence the need for stenting. Fractional flow reserve (FFR) is commonly used as a technique.

Building global collaborative research networks in paediatric critical care: a roadmap.

Paediatric critical care units are designed for children at a vulnerable stage of development, yet the evidence base for practice and policy in paediatric critical care remains scarce. In this Health Policy, we present a roadmap providing strategic guidance for international paediatric critical care trials. We convened a multidisciplinary group of 32 paediatric critical care experts from six continents representing paediatric critical care research networks and groups.